AWS Media Blog

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AWS Media Tech Demo: Live Streaming with Automated Multi-Language Subtitling

Until now, to create captions for a live event, stenographers had to be listening closely to capture the speech to convert it to text. To make it more complex, for live content, this has to be done in as close to real-time as possible. If the captions were needed in additional languages, the text was […]

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[Updated April 11] Introducing Live Streaming with Automated Multi-Language Subtitling

For a step-by-step guide on how to get started with this solution, check out this post from the Machine Learning blog. Originally published on the Whats New blog on March 21. Live Streaming with Automated Multi-Language Subtitling is a solution that automatically generates multi-language subtitles for live streaming video content in real time. The solution is […]

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Extracting Intelligence from Corporate Streaming using Machine Learning

With nearly one million minutes of video content forecasted to pass through global IP networks each second by 2021, ensuring that video traffic — especially video produced and consumed by company employees — is valuable, actionable, and personal becomes critical to that company’s success1. Companies today create live and on-demand videos for many purposes, including […]

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The New World of Watching Machine Learning-Enhanced Streaming Sports

Gone are the days when watching sports on television meant turning on the one and only broadcaster which owned the rights to televise an event. Several sports-specific OTT offerings have launched in the last year with broadcasters realizing that sports are the last bastion of streaming video for which viewers are willing to pay a […]

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AWS Media & Entertainment at NAB 2018

NAB is the ultimate event for the media, entertainment, and technology industry with over 100,000 attendees from around the world coming to the Las Vegas Convention Center from April 9-12. And once again AWS will be present to showcase our latest releases to help media technologists work faster, smarter, and more efficiently. Machine learning and […]

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